Mention de date : october 2010 Paru le : 01/10/2010 |
[n° ou bulletin]
[n° ou bulletin]
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Exemplaires(2)
Code-barres | Cote | Support | Localisation | Section | Disponibilité |
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079-2010061 | RAB | Revue | Centre de documentation | En réserve L003 | Disponible |
079-2010062 | RAB | Revue | Centre de documentation | En réserve L003 | Disponible |
Dépouillements


Assessing the quality of geoscientific simulation models with visual analytics methods: a design study / D. Dransch in International journal of geographical information science IJGIS, vol 24 n° 10 (october 2010)
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[article]
Titre : Assessing the quality of geoscientific simulation models with visual analytics methods: a design study Type de document : Article/Communication Auteurs : D. Dransch, Auteur ; P. Köthur, Auteur ; S. Schulte, Auteur ; V. Klemann, Auteur ; H. Dobslaw, Auteur Année de publication : 2010 Article en page(s) : pp 1459 - 1479 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] analyse de données
[Termes IGN] analyse visuelle
[Termes IGN] données hétérogènes
[Termes IGN] modèle de simulationRésumé : (Auteur) Simulation models are essential means of scientific knowledge building and also the basis for decision-making. Because of their relevance, they have to be assessed thoroughly with respect to their quality. Simulation model assessment comprises two challenges: (a) modelers have to create a comprehensive mental image of the model's quality despite the massive multidimensional, multivariate, and often heterogeneous data; and (b) the model assessment process should be as efficient as possible. We face these challenges with a visual analytics approach. We aim at developing interactive visual representations which, in combination with present computational analysis methods, support the scientist's reasoning process to enhance the assessment of simulation models. In a design study, we analyzed two exemplary reasoning processes which cover the main model assessment procedures: the evaluation of the internal coherence of the model's structure and behavior and the assessment of its empirical validity. The analysis was conducted by means of a user- and task-centered approach which combines several knowledge elicitation techniques and task analysis concepts. We derived domain tasks as well as cognitive actions and developed and implemented interactive visualization components which supplement the statistical analysis methods already used. An informal qualitative user study shows that our visual analytics approach and tools help gain a more detailed mental image and hence a better understanding of the data and the underlying simulation model and allow for a faster and more comprehensive assessment of the simulation model. Numéro de notice : A2010-461 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658816.2010.510800 En ligne : https://doi.org/10.1080/13658816.2010.510800 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30654
in International journal of geographical information science IJGIS > vol 24 n° 10 (october 2010) . - pp 1459 - 1479[article]Exemplaires(2)
Code-barres Cote Support Localisation Section Disponibilité 079-2010061 RAB Revue Centre de documentation En réserve L003 Disponible 079-2010062 RAB Revue Centre de documentation En réserve L003 Disponible Using space-time visual analytic methods for exploring the dynamics of ethnic groups' residential patterns / I. Omer in International journal of geographical information science IJGIS, vol 24 n° 10 (october 2010)
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[article]
Titre : Using space-time visual analytic methods for exploring the dynamics of ethnic groups' residential patterns Type de document : Article/Communication Auteurs : I. Omer, Auteur ; P. Bak, Auteur ; T. Schreck, Auteur Année de publication : 2010 Article en page(s) : pp 1481 - 1496 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] analyse diachronique
[Termes IGN] analyse visuelle
[Termes IGN] données socio-économiques
[Termes IGN] Israël
[Termes IGN] recensement démographique
[Termes IGN] répartition géographique
[Termes IGN] utilisation du solRésumé : (Auteur) In this article, we present a methodological framework, based on georeferenced house-level socio-demographic and infrastructure data, for investigating minority (or ethnic) group residential pattern dynamics in cities. This methodology, which uses visual analytical tools, is meant to help researchers examine how local land-use configurations shape minorities' residential dynamics and, thereby, affect the level of minority-majority segregation. This methodology responds to the need to refer to the relationship between local land-use configurations and the identity of a building's residents, without simultaneously revealing sensitive house-related details. The research was instantiated on the residential patterns exhibited by the Arab community in Jaffa, Israel. The residential data were collected for over 40 years at four different moments, each associated with the population and housing censuses conducted by Israel's Central Bureau of Statistics and the Ministry of the Interior. Using this methodology enabled us to remain on the level of the individual building when identifying the relationships between spatial land-use configurations and rates of change in ethnic composition and the Arab community's residence pattern dynamics at different geographical scales. It likewise allowed us to identify the qualitative changes in the population's residential preferences during the pattern's development. Numéro de notice : A2010-462 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658816.2010.513982 En ligne : https://doi.org/10.1080/13658816.2010.513982 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30655
in International journal of geographical information science IJGIS > vol 24 n° 10 (october 2010) . - pp 1481 - 1496[article]Exemplaires(2)
Code-barres Cote Support Localisation Section Disponibilité 079-2010061 RAB Revue Centre de documentation En réserve L003 Disponible 079-2010062 RAB Revue Centre de documentation En réserve L003 Disponible Visualization of attributed hierarchical structures in a spatiotemporal context / S. Hadlak in International journal of geographical information science IJGIS, vol 24 n° 10 (october 2010)
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[article]
Titre : Visualization of attributed hierarchical structures in a spatiotemporal context Type de document : Article/Communication Auteurs : S. Hadlak, Auteur ; Christian Tominski, Auteur ; H. Schulz, Auteur ; Heidrun Schumann, Auteur Année de publication : 2010 Article en page(s) : pp 1497 - 1513 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] analyse spatio-temporelle
[Termes IGN] approche hiérarchique
[Termes IGN] implémentation (informatique)
[Termes IGN] structure hiérarchique de données
[Termes IGN] visualisationRésumé : (Auteur) When visualizing data, spatial and temporal references of these data often have to be considered in addition to the actual data attributes. Nowadays, structural information is becoming more and more important. Hierarchies, for instance, are frequently applied to make large and complex data manageable. Hence, a visual depiction of hierarchical structures in space and time is required. Although there are several techniques addressing specific aspects of spatio-temporal visualization, approaches that cope with space, time, data, and structure are rare. With this article we take a step to fill this gap. By combining various well-established concepts, we achieve a reasonably complete visualization of all of the aforementioned aspects, where our focus is on the hierarchical structures. We embed hierarchies directly into the regions of a map display using variants of the point-based layout. Layering and animation are applied to visualize temporal aspects. Based on the analysis goals, users can switch between representations that emphasize data attributes or hierarchical structures. Interaction techniques support users in navigating the data and their visualization. We demonstrate the usefulness of our approach by adapting it to implement a visualization for spatiotemporal human health data. Numéro de notice : A2010-463 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658816.2010.510840 En ligne : https://doi.org/10.1080/13658816.2010.510840 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30656
in International journal of geographical information science IJGIS > vol 24 n° 10 (october 2010) . - pp 1497 - 1513[article]Exemplaires(2)
Code-barres Cote Support Localisation Section Disponibilité 079-2010061 RAB Revue Centre de documentation En réserve L003 Disponible 079-2010062 RAB Revue Centre de documentation En réserve L003 Disponible Analysing spatio-temporal autocorrelation with LISTA-Viz / F. Hardisty in International journal of geographical information science IJGIS, vol 24 n° 10 (october 2010)
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[article]
Titre : Analysing spatio-temporal autocorrelation with LISTA-Viz Type de document : Article/Communication Auteurs : F. Hardisty, Auteur ; Alexander Klippel, Auteur Année de publication : 2010 Article en page(s) : pp 1515 - 1526 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] analyse spatio-temporelle
[Termes IGN] autocorrélation
[Termes IGN] corrélation
[Termes IGN] données spatiotemporelles
[Termes IGN] méthode de Monte-CarloRésumé : (Auteur) Many interesting analysis problems (e.g. disease surveillance) would become more tractable if their spatio-temporal structure was better understood. Specifically, it would be helpful to be able to identify autocorrelation in space and time simultaneously. Some of the most commonly used measures of spatial association are LISA statistics, such as the Local Moran's I or the Getis-Ord Gi*; however, these have not been applied to the spatio-temporal case (including many time steps) because of computational limitations. We have implemented a spatio-temporal version of the Local Moran's I and claimed two advances: first, we exploit the fact that there are a limited number of topological relationships present in the data to make Monte Carlo's estimation of probability densities computationally practical, and thereby bypass the 'curse of dimensionality'. We term this approach 'spatial memoization'. Second, we developed a tool (LISTA-Viz) for interacting with the spatio-temporal structure uncovered by the statistics that contains a novel coordination strategy. The potential usefulness of the method and the associated tool are illustrated by an analysis of the 2009 H1N1 pandemic, with the finding that there was a critical spatio-temporal 'inflection point' at which the pandemic changed its character in the United States. Numéro de notice : A2010-464 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658816.2010.511717 En ligne : https://doi.org/10.1080/13658816.2010.511717 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30657
in International journal of geographical information science IJGIS > vol 24 n° 10 (october 2010) . - pp 1515 - 1526[article]Exemplaires(2)
Code-barres Cote Support Localisation Section Disponibilité 079-2010061 RAB Revue Centre de documentation En réserve L003 Disponible 079-2010062 RAB Revue Centre de documentation En réserve L003 Disponible An integrated approach for visual analysis of a multisource moving objects knowledge base / N. Wllems in International journal of geographical information science IJGIS, vol 24 n° 10 (october 2010)
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[article]
Titre : An integrated approach for visual analysis of a multisource moving objects knowledge base Type de document : Article/Communication Auteurs : N. Wllems, Auteur ; W. Robert, Auteur ; W. Van Hage, Auteur ; G. de Vries, Auteur ; J. Janssens, Auteur ; V. Malaisé, Auteur Année de publication : 2010 Article en page(s) : pp 1543 - 1558 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] analyse visuelle
[Termes IGN] base de connaissances
[Termes IGN] données multisources
[Termes IGN] eaux côtières
[Termes IGN] fusion de données
[Termes IGN] littoral
[Termes IGN] navire
[Termes IGN] objet mobile
[Termes IGN] Pays-Bas
[Termes IGN] sécurité maritime
[Termes IGN] simulation d'étalonnage
[Termes IGN] trafic
[Termes IGN] trajet (mobilité)Résumé : (Auteur) We present an integrated and multidisciplinary approach for analyzing the behavior of moving objects. The results originate from an ongoing research of four different partners from the Dutch Poseidon project (Embedded Systems Institute (2007)), which aims to develop new methods for Maritime Safety and Security (MSS) systems to monitor vessel traffic in coastal areas. Our architecture enables an operator to visually test hypotheses about vessels with time-dependent sensor data and on-demand external knowledge. The system includes the following components: abstraction and simulation of trajectory sensor data, fusion of multiple heterogenous data sources, reasoning, and visual analysis of the combined data sources. We start by extracting segments of consistent movement from simulated or real-world trajectory data, which we store as instances of the Simple Event Model (SEM), an event ontology represented in the Resource Description Framework (RDF). Next, we add data from the web about vessels and geography to enrich the sensor data. This additional information is integrated with the representation of the vessels (actors) and places in SEM. The enriched trajectory data are stored in a knowledge base, which can be further annotated by reasoning and is queried by a visual analytics tool to search for spatiotemporal patterns. Although our approach is dedicated to MSS systems, we expect it to be useful in other domains. Numéro de notice : A2010-465 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658816.2010.515029 En ligne : https://doi.org/10.1080/13658816.2010.515029 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30658
in International journal of geographical information science IJGIS > vol 24 n° 10 (october 2010) . - pp 1543 - 1558[article]Exemplaires(2)
Code-barres Cote Support Localisation Section Disponibilité 079-2010061 RAB Revue Centre de documentation En réserve L003 Disponible 079-2010062 RAB Revue Centre de documentation En réserve L003 Disponible Space-time density of trajectories : exploring spatio-temporal patterns in movement data / Urška Demšar in International journal of geographical information science IJGIS, vol 24 n° 10 (october 2010)
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[article]
Titre : Space-time density of trajectories : exploring spatio-temporal patterns in movement data Type de document : Article/Communication Auteurs : Urška Demšar, Auteur ; K. Virrantaus, Auteur Année de publication : 2010 Article en page(s) : pp 1527 - 1542 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] analyse spatio-temporelle
[Termes IGN] densité
[Termes IGN] données localisées 3D
[Termes IGN] données spatiotemporelles
[Termes IGN] estimation par noyau
[Termes IGN] exploration de données géographiques
[Termes IGN] Finlande
[Termes IGN] navire
[Termes IGN] reconstruction d'itinéraire ou de trajectoire
[Termes IGN] trajectoire (véhicule non spatial)Résumé : (Auteur) Modern positioning and identification technologies enable tracking of almost any type of moving object. A remarkable amount of new trajectory data is thus available for the analysis of various phenomena. In cartography, a typical way to visualise and explore such data is to use a space-time cube, where trajectories are shown as 3D polylines through space and time. With increasingly large movement datasets becoming available, this type of display quickly becomes cluttered and unclear. In this article, we introduce the concept of 3D space-time density of trajectories to solve the problem of cluttering in the space-time cube. The space-time density is a generalisation of standard 2D kernel density around 2D point data into 3D density around 3D polyline data (i.e. trajectories). We present the algorithm for space-time density, test it on simulated data, show some basic visualisations of the resulting density volume and observe particular types of spatio-temporal patterns in the density that are specific to trajectory data. We also present an application to real-time movement data, that is, vessel movement trajectories acquired using the Automatic Identification System (AIS) equipment on ships in the Gulf of Finland. Finally, we consider the wider ramifications to spatial analysis of using this novel type of spatio-temporal visualisation. Numéro de notice : A2010-466 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658816.2010.511223 En ligne : https://doi.org/10.1080/13658816.2010.511223 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30659
in International journal of geographical information science IJGIS > vol 24 n° 10 (october 2010) . - pp 1527 - 1542[article]Exemplaires(2)
Code-barres Cote Support Localisation Section Disponibilité 079-2010061 RAB Revue Centre de documentation En réserve L003 Disponible 079-2010062 RAB Revue Centre de documentation En réserve L003 Disponible Exploring the efficiency of users' visual analytics strategies based on sequence analysis of eye movement recordings / Arzu Çöltekin in International journal of geographical information science IJGIS, vol 24 n° 10 (october 2010)
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[article]
Titre : Exploring the efficiency of users' visual analytics strategies based on sequence analysis of eye movement recordings Type de document : Article/Communication Auteurs : Arzu Çöltekin, Auteur ; Sara Irina Fabrikant, Auteur ; Martin Lacayo, Auteur Année de publication : 2010 Article en page(s) : pp 1559 - 1575 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] analyse visuelle
[Termes IGN] interactivité
[Termes IGN] optique physiologique
[Termes IGN] utilisateur
[Termes IGN] visualisation dynamiqueRésumé : (Auteur) Visual analytics is often based on the intuition that highly interactive and dynamic depictions of complex and multivariate databases amplify human capabilities for inference and decision-making, as they facilitate cognitive tasks such as pattern recognition, association, and analytical reasoning (Thomas and Cook 2005). But how do we know whether visual analytics really works? This article offers a generic evaluation approach combining theory- and data-driven methods based on sequence similarity analysis. The approach systematically studies users' visual interaction strategies when using highly interactive interfaces. We specifically ask whether the efficiency (i.e., speed) of users can be characterized by specific display interaction event sequences, and whether studying user strategies could be employed to improve the (interaction) design of the dynamic displays. We showcase our approach using a very large, fine-grained spatiotemporal dataset of eye movement recordings collected during a controlled human subject experiment with dynamic visual analytics displays. With this methodological approach based on empirical evidence, we hope to contribute to a deeper understanding of how people make inferences and decisions with highly interactive visualization tools and complex displays. Numéro de notice : A2010-467 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658816.2010.511718 En ligne : https://doi.org/10.1080/13658816.2010.511718 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30660
in International journal of geographical information science IJGIS > vol 24 n° 10 (october 2010) . - pp 1559 - 1575[article]Exemplaires(2)
Code-barres Cote Support Localisation Section Disponibilité 079-2010061 RAB Revue Centre de documentation En réserve L003 Disponible 079-2010062 RAB Revue Centre de documentation En réserve L003 Disponible Space, time and visual analytics / Gennady Adrienko in International journal of geographical information science IJGIS, vol 24 n° 10 (october 2010)
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[article]
Titre : Space, time and visual analytics Type de document : Article/Communication Auteurs : Gennady Adrienko, Auteur ; Natalia Adrienko, Auteur ; Urška Demšar, Auteur ; D. Dranch, Auteur ; et al., Auteur Année de publication : 2010 Article en page(s) : pp 1577 - 1600 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] analyse spatio-temporelle
[Termes IGN] analyse visuelle
[Termes IGN] utilisateur
[Termes IGN] visualisation de donnéesRésumé : (Auteur) Visual analytics aims to combine the strengths of human and electronic data processing. Visualisation, whereby humans and computers cooperate through graphics, is the means through which this is achieved. Seamless and sophisticated synergies are required for analysing spatio-temporal data and solving spatio-temporal problems. In modern society, spatio-temporal analysis is not solely the business of professional analysts. Many citizens need or would be interested in undertaking analysis of information in time and space. Researchers should find approaches to deal with the complexities of the current data and problems and find ways to make analytical tools accessible and usable for the broad community of potential users to support spatio-temporal thinking and contribute to solving a large range of problems. Numéro de notice : A2010-468 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658816.2010.508043 En ligne : https://doi.org/10.1080/13658816.2010.508043 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30661
in International journal of geographical information science IJGIS > vol 24 n° 10 (october 2010) . - pp 1577 - 1600[article]Exemplaires(2)
Code-barres Cote Support Localisation Section Disponibilité 079-2010061 RAB Revue Centre de documentation En réserve L003 Disponible 079-2010062 RAB Revue Centre de documentation En réserve L003 Disponible